Developing and testing models of the drivers of anthropogenic and lightning-caused wildfire ignitions in south-eastern Australia H Clarke, R Gibson, B Cirulis, RA Bradstock, TD Penman Journal of environmental management 235, 34-41, 2019 | 54 | 2019 |
Bayesian decision network modeling for environmental risk management: A wildfire case study TD Penman, B Cirulis, BG Marcot Journal of environmental management 270, 110735, 2020 | 43 | 2020 |
Cost-effective prescribed burning solutions vary between landscapes in eastern Australia TD Penman, H Clarke, B Cirulis, MM Boer, OF Price, RA Bradstock Frontiers in Forests and Global Change 3, 79, 2020 | 33 | 2020 |
Quantification of inter-regional differences in risk mitigation from prescribed burning across multiple management values B Cirulis, H Clarke, M Boer, T Penman, O Price, R Bradstock International Journal of Wildland Fire 29 (5), 414-426, 2019 | 31 | 2019 |
The 2019–2020 Australian forest fires are a harbinger of decreased prescribed burning effectiveness under rising extreme conditions H Clarke, B Cirulis, T Penman, O Price, MM Boer, R Bradstock Scientific reports 12 (1), 11871, 2022 | 23 | 2022 |
Cost effectiveness of fire management strategies in southern Australia TD Penman, BA Cirulis International journal of wildland fire 29 (5), 427-439, 2019 | 19 | 2019 |
Conditional performance evaluation: using wildfire observations for systematic fire simulator development TJ Duff, JG Cawson, B Cirulis, P Nyman, GJ Sheridan, KG Tolhurst Forests 9 (4), 189, 2018 | 19 | 2018 |
Quantifying merging fire behaviour phenomena using unmanned aerial vehicle technology A Filkov, B Cirulis, T Penman International Journal of Wildland Fire 30 (3), 197-214, 2020 | 17 | 2020 |
Mapping prescribed fire severity in south-east Australian eucalypt forests using modelling and satellite imagery: A case study J Loschiavo, B Cirulis, Y Zuo, BA Hradsky, J Di Stefano International journal of wildland fire 26 (6), 491-497, 2017 | 16 | 2017 |
Effect of weather forecast errors on fire growth model projections TD Penman, DA Ababei, JG Cawson, BA Cirulis, TJ Duff, W Swedosh, ... International journal of wildland fire 29 (11), 983-994, 2020 | 12 | 2020 |
Sensitivity analysis of PHOENIX RapidFire D Chong, KG Tolhurst, TJ Duff, B Cirulis Bushfire CRC, University of Melbourne, 2013 | 10 | 2013 |
Improved accuracy of wildfire simulations using fuel hazard estimates based on environmental data TD Penman, SC McColl-Gausden, BA Cirulis, D Kultaev, DA Ababei, ... Journal of environmental management 301, 113789, 2022 | 9 | 2022 |
Understanding risk: representing fire danger using spatially explicit fire simulation ensembles TJ Duff, DM Chong, BA Cirulis, SF Walsh, TD Penman, KG Tolhurst Advances in Forest Fire Research, 1286-1294, 2014 | 8 | 2014 |
Gaining benefits from adversity: The need for systems and frameworks to maximise the data obtained from wildfires TJ Duff, DM Chong, BA Cirulis, SF Walsh, TD Penman, KG Tolhurst Advances in Forest Fire Research; Viegas, DX, Ed.; Imprensa da Universidade …, 2014 | 7 | 2014 |
Health costs of wildfire smoke to rise under climate change H Clarke, B Cirulis, N Borchers-Arriagada, R Bradstock, O Price, ... npj Climate and Atmospheric Science 6 (1), 102, 2023 | 4 | 2023 |
A new decision support tool for prescribed burning risk assessment H Clarke, B Cirulis, R Bradstock, MM Boer, T Penman, O Price AFAC19 powered by INTERSCHUTZ Research Proceedings from the Bushfire and …, 2019 | 4 | 2019 |
A flexible framework for cost-effective fire management H Clarke, B Cirulis, N Borchers-Arriagada, M Storey, M Ooi, K Haynes, ... Global Environmental Change 82, 102722, 2023 | 2 | 2023 |
Quantifying dynamic fire behaviour phenomena using Unmanned Aerial Vehicle technology A Filkov, B Cirulis, T Penman 23rd International Congress on Modelling and Simulation, 740-746, 2019 | 2 | 2019 |
The determinants of crown fire runs during extreme wildfires in broadleaf forests in Australia AI Filkov, L Collins, A Rawlins, TJ Duff, B Cirulis, TD Penman Imprensa da Universidade de Coimbra, 2018 | 2 | 2018 |
Gaining benefits from adversity: The need for systems and frameworks to maximise the data obtained from wildfires DM Chong, BA Cirulis, TJ Duff, SF Walsh, TD Penmanb, KG Tolhust Imprensa da Universidade de Coimbra, 2014 | 2 | 2014 |